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Arrowpyarrow functionalitypyarrow functionalityEnhancementIO JSONread_json, to_json, json_normalizeread_json, to_json, json_normalize
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pyarrow has a read_json function that could be used as an alternative parser for pd.read_json https://arrow.apache.org/docs/python/generated/pyarrow.json.read_json.html#pyarrow.json.read_json
Like we have for read_csv and read_parquet, I would like to propose a engine keyword argument to allow users to pick the parsing backend engine="ujson"|"pyarrow"
One change compared to read_csv and read_parquet with engine="pyarrow" I would like to propose would be to return ArrowExtensionArrays instead of converting the result to numpy dtypes such that the pyarrow.Table returned by read_json still propagates pyarrow objects underneath.
Thoughts?
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Arrowpyarrow functionalitypyarrow functionalityEnhancementIO JSONread_json, to_json, json_normalizeread_json, to_json, json_normalize